Abstract
For positive integers k and \(\lambda \), a graph G is \((k,\lambda )\)-connected if it satisfies the following two conditions: (1) \(|V(G)|\ge k+1\), and (2) for any subset \(S\subseteq V(G)\) and any subset \(L\subseteq E(G)\) with \(\lambda |S|+|L|<k\lambda \), \(G-(S\cup L)\) is connected. For positive integers k and \(\ell \), a graph G with \(|V(G)|\ge k+\ell +1\) is said to be \((k,\ell )\)-mixed-connected if for any subset \(S\subseteq V(G)\) and any subset \(L\subseteq E(G)\) with \(|S|\le k, |L|\le \ell \) and \(|S|+|L|<k+\ell \), \(G-(S\cup L)\) is connected. In this paper, we investigate the \((k,\lambda )\)-connectivity and \((k,\ell )\)-mixed-connectivity of random graphs, and generalize the results of Erdős and Rényi (1959), and Stepanov (1970). Furthermore, our argument can show that in the random graph process \(\tilde{G} = \left( {{G_t}} \right) _0^N \), \(N=\left( {\begin{array}{c}n\\ 2\end{array}}\right) \), the hitting times of minimum degree at least \(k\lambda \) and of \(G_t\) being \((k,\lambda )\)-connected coincide with high probability, and also the hitting times of minimum degree at least \(k+\ell \) and of \(G_t\) being \((k,\ell )\)-mixed-connected coincide with high probability. These results are analogous to the work of Bollobás and Thomassen (1986) on classic connectivity.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Boesch, F.T., Chen, S.: A generalization of line connectivity and optimally invulnerable graphs. SIAM J. Appl. Math. 34, 657–665 (1978)
Bollobás, B.: Random Graphs. Cambridge University Press, Cambridge (2001)
Beineke, L.W., Harary, F.: The connectivity function of a graph. Mathematika 14, 197–202 (1967)
Bollobás, B., Thomason, A.: Random graphs of small order. Annals Discr. Math. 7, 35–38 (1986)
Bollobás, B., Thomason, A.: Threshold functions. Combinatorica 7, 35–38 (1986)
Egawa, Y., Kaneko, A., Matsumoto, M.: A mixed version of Menger’s theorem. Combinatorica 11, 71–74 (1991)
Erdős, P., Rényi, A.: On random graphs. Publ. Math. Debrecen 6, 290–297 (1959)
Erdős, P., Rényi, A.: On the strength of connectedness of a random graph. Acta Math. Hung. 12(1), 261–267 (1961)
Friedgut, E., Kalai, G.: Every monotone graph property has a sharp threshold. Proc. Amer. Math. Soc. 124, 2993–3002 (1996)
Hennayake, K., Lai, H.-J., Li, D., Mao, J.: Minimally \((k, k)\)-edge-connected graphs. J. Graph Theor. 44, 116–131 (2003)
Ivchenko, G.I.: The strength of connectivity of a random graph. Theor. Probab. Applics 18, 396–403 (1973)
Kaneko, A., Ota, K.: On minimally \((n, \lambda )\)-connected graphs. J. Combin. Theor. Ser. B 80, 156–171 (2000)
Mader, W.: Connectivity and edge-connectivity in finite graphs. In: Bollobás, B., (ed.): Surveys in Combinatorics proceedings of the Seventh British Combinatorial Conference, London Mathematical Society Lecture Note Series, vol. 38. Cambridge University Press, Cambridge, pp. 66–95 (1979)
Sadeghi, E., Fan, N.: On the survivable network design problem with mixed connectivity requirements (2015). http://www.optimization-online.org/DB_HTML/2015/10/5144.html
Stepanov, V.E.: On the probability of connectedness of a random graph \(G_m(t)\). Theor. Probab. Applics 15, 55–67 (1970)
Acknowledgement
R. Gu was partially supported by Natural Science Foundation of Jiangsu Province (No. BK20170860), National Natural Science Foundation of China, and Fundamental Research Funds for the Central Universities (No. 2016B14214). Y. Shi was partially supported by the Natural Science Foundation of Tianjin (No. 17JCQNJC00300) and the National Natural Science Foundation of China.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Gu, R., Shi, Y., Fan, N. (2017). Mixed Connectivity of Random Graphs. In: Gao, X., Du, H., Han, M. (eds) Combinatorial Optimization and Applications. COCOA 2017. Lecture Notes in Computer Science(), vol 10627. Springer, Cham. https://doi.org/10.1007/978-3-319-71150-8_13
Download citation
DOI: https://doi.org/10.1007/978-3-319-71150-8_13
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-71149-2
Online ISBN: 978-3-319-71150-8
eBook Packages: Computer ScienceComputer Science (R0)